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Posts Tagged ‘management’

Market Awareness: Competitive Intelligence – Testimonials

January 31st, 2012 No comments

Bill Stinneford (Buxton), Andrea Westmeyer (RMI), and Deb St John (RMI) speak directly to you about why they chose Market Awareness and the Return on Investment they received.

Market Awareness acts as a non-biased third party firm to apply a known methodology, to a lost prospect or existing project, to uncover critical intelligence on your company’s perceived strengths and weaknesses. This competitive intelligence allows you to align strategically and tactically to generate more revenues.

Duration : 0:8:42

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How to manage competition through competitive intelligence?

December 21st, 2011 No comments

Prof. Muralidharan of Macquarie Graduate School of Management, Sydney, Australia in conversation with Prime Point Srinivasan explains the business intelligence and competitive intelligence. He also explains as to competitive intelligence helps to manage the competition.

Duration : 0:8:34

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Market Awareness: Competitive Intelligence – Teris

December 13th, 2011 No comments

Teris COO Kip Hauser talks about the power of Market Awareness Intelligence in the marketplace.

Market Awareness acts as a non-biased third party firm to apply a known methodology, to a lost prospect or existing project, to uncover critical intelligence on your company’s perceived strengths and weaknesses. This competitive intelligence allows you to align strategically and tactically to generate more revenues.

Duration : 0:9:59

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Data Mining Thesis, "business intelligence" , lingpipe , computer science

December 5th, 2011 No comments

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Writing a Good Data Mining Thesis
Data Mining Thesis Should Address Various Aspects of the Data Mining Process
Writing a Data Mining Thesis is a challenge. To write a proper thesis on the subject, one should understand what data mining is. It is not restricted to collection, extraction or processing of data. It is actually the identifying of various patterns in data. Though this is a relatively new subject, identifying patterns within a collection of data has been used by humans for centuries. Earliest scientific approaches to the subject are Baye’s Theorem and Regression Analysis in 18th and 19th centuries. During the past two decades, data storage, data, collection and data transmission facilities have developed so fast and become very cheap, making it possible to apply the techniques of data mining for various purposes. There are many aspects of data mining that have to be considered when writing a degree thesis on data mining.
What is Data Mining?
Raw data does not make any sense until that is organized in some way to show some pattern. With data mining techniques new information can be generated from data. What type of data is used for data mining? A vast amount of data is collected by the computers and computer networks in industry and business, For a supermarket chain point of sales data can be used to generate lot of information that maybe helpful in forecasting trends and correlating buying patterns. In healthcare, the data is collected at hospital admittance points. Though it was the practice to discard the raw data keeping the summaries, now these data have become a goldmine to be mined with data mining techniques. This has become possible with the newest algorithms, software and parallel processing.

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Data Mining Thesis Topics
When required to write a Data Mining Thesis you have to select an interesting topic that deals with a specific area of the subject. Here are some thesis ideas you can consider for your thesis.
• Data mining applications in marketing: Here students can select one specific use e.g. market segmentation, customer behavior prediction, getting higher response rates in direct marketing, fraud detection, Buyer’s basket analysis and tend analysis.
• Data mining techniques used in scientific research like Weather Forecasting.
• Application of data mining in healthcare — for national health ministry usage as well as for trend analysis in deceases, for development of medications, capacity building in health care etc.
• Data mining used for prevention of Terrorism

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Duration : 0:1:55

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Future Growth Scenarios: strategies, competitors, innovations – Futurist conference keynote speaker

October 22nd, 2011 3 comments

http://www.globalchange.com Multiple scenarios and scenario development to test business strategy in manufacturing, wholesale, retail, supply chain, software, phone companies, telcommunications industry, health care and medical companies, travel, transport, aviation, automotive, road transport, energy companies, oil, gas, alternative energy and green technology. Change management, leadership, boards, teams, tactics tactical competitor analysis of key trends. Consumer and customer insight and trends. Megatrends, demographics, emerging markets, marketing, markets, brands, branding and advertising campaigns. Innovation and engineering technologies. Need more than one strategy in rapidly changing world where events happen faster than you can organise a board meeting. Scenario building techniques. Forecasting and trend analysis. Use people outside organisation for external view to test strategy. Example of private banking and wealth management. Future of banking and philanthropy. High net worth investors and family offices — wellbeing of children. Why high net worth clients are committed to philanthropy. New models for private banking and portfolio management. Out of the box thinking. Challenging institutional blindness. New leadership insights, innovations and management tools. Power of networking in strategy development. Keynote conference speaker Patrick Dixon at Stein Am Rhein Leadership Summit — questions and answers facilitated by Professor Prabhu Guptara.

Duration : 0:5:27

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Applying Competitive Intelligence to your business

September 28th, 2011 No comments

Key competitive intelligence questions you should be asking yourself about your business. Why? Knowing who your competition is, how you are different and developing your responses to their actions can keep you ahead of the game and win you more business.

Duration : 0:3:6

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Reactive Business Intelligence – from data to models to insight

September 21st, 2011 No comments

Get the book at: http://www.reactivebusinessintelligence.com/

Reactive Business Intelligence. From Data to Models to Insight.
R. Battiti and M. Brunato,
Reactive Search Srl, Italy, February 2011.
ISBN: 978-88-905795-0-9

Duration : 0:8:50

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6. Rise of the Joint Stock Corporation

September 15th, 2011 No comments

Capitalism: Success, Crisis and Reform (PLSC 270)

Professor Rae explains how the growing scale and complexity of railroads in the US were foundational to the development of modern capitalism. Operating the railroad system required professional managers and new management techniques, and the scale of railroad financing gave rise to the formation of the joint stock corporation. Professor Rae then discusses how different forms of company ownership differ along liability, liquidity, financial scalability, accountability, and role of ownership dimensions. Joint stock corporations are shown to be extremely efficient ways to raise large amounts of money, even if they suffer principal-agent problems.

00:00 – Chapter 1. Introduction
06:13 – Chapter 2. The Double Challenge Faced by Railroads
20:16 – Chapter 3. The Joint Stock Corporation & Its Main Alternatives

Complete course materials are available at the Open Yale Courses website: http://open.yale.edu/courses

This course was recorded in Fall 2009.

Duration : 0:44:6

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Google Alerts for competitor intelligence and reputation management

June 27th, 2011 No comments

Using Google Alerts to monitor your competition, manage your online reputation and keep current on news in your industry using Google Alerts. Do this today! Monte Huebsch

Duration : 0:3:44

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Reactive Business Intelligence

May 27th, 2011 No comments

Presentation of the book:
Reactive Business Intelligence. From Data to Models to Insight.
R. Battiti and M. Brunato,
Reactive Search Srl, Italy, February 2011.

Duration : 0:9:22

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